Dynamic stochastic phenomena frequently involve a significant element of randomness beyond the most basic types of stochastic innovations. Additional variations of this kind are referred to as Volatility or Intermittency. Such 'additional' random fluctuations generally vary, in time and/or in space, in regard to both intensity and amplitudes. In particular, volatility/intermittency constitutes an important element in the fields of (i) Turbulence (ii) Finance (iii) Rain (iv) Nanoscale emitters. The talk will present an overview of some recent and ongoing work on how to model, measure and assess volatility/intermittency.
